Published on: April 2026
INTELLIGENT AUTOMATED DATA ANALYSIS SYSTEM USING GENERATIVE AI FOR INSIGHT GENERATION
Nuthangi Yasaswini
K Naresh
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Abstract
The necessity for effective data analysis tools that may yield significant insights with little human interaction has grown due to the quick expansion of data across numerous disciplines. In order to streamline the process of analyzing data, this study proposes an intelligent automated data analysis system that combines conventional data analytics methods with generative artificial intelligence. The suggested solution enables users to submit datasets in a variety of formats, including CSV and Excel, and uses a Generative AI model to automatically carry out preprocessing, statistical analysis, and visualization in addition to producing analytical insights that like those of a human.
How to Cite this Paper
Yasaswini, N. (2026). Intelligent Automated Data Analysis System using Generative AI for Insight Generation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.076
Yasaswini, Nuthangi. "Intelligent Automated Data Analysis System using Generative AI for Insight Generation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.076.
Yasaswini, Nuthangi. "Intelligent Automated Data Analysis System using Generative AI for Insight Generation." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.076.
References
[1] Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Long Beach, CA, USA, 2017, pp. 5998–6008, A. Vaswani et al., "Attention Is All You Need."[2] T. Brown et al., "Language Models are Few-Shot Learners," Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Virtual, 2020, pp. 1877–1901.
[3] Data Analysis in the Era of Generative AI, J. P. Inala, C. Wang, A. Upadhyay, and D. S. Weld, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Honolulu, HI, USA, 2024.
[4] "Understanding Generative AI-Assisted Data Analysis Workflows," arXiv preprint arXiv:2407.02903, 2024, I. Drosos, A. G. Forbes, and M. Tory.
[5] M. J. Buehler, "Generative Knowledge Extraction: Principles and Applications," arXiv preprint arXiv:2403.11996,2024.
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- •Published on: Apr 06 2026
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